Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs
By Enzo
April 19, 2022 9 mins read
Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.
Explore: ai • AuraDB • cloud • data model • deep learning cafe • document databases • fraud detection • GCP • Google Cloud • Graph Databases
The Future of AI: Machine Learning and Knowledge Graphs
By Enzo
March 11, 2022 10 mins read
Using knowledge graphs and AI together can improve the accuracy of the outcomes and augment the potential of machine learning approaches.
Explore: ai • AI/ML • artificial intelligence • context • Contextual AI • data sourcing • Graph Machine Learning • knowledge graphs • machine learning • ML
Graph Embeddings: AI That Learns from Your Data to Solve Problems
By Enzo
March 4, 2022 11 mins read
Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.
Explore: ai • artificial intelligence • embeddings • GDS • graph data science • graph database • graph embeddings • machine learning • math • ML
Graph Data Science: The Secret to Accelerating Innovation with AI/ML
By Enzo
January 26, 2022 14 mins read
Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.
Explore: ai • artificial intelligence • GDS • graph algorithms • graph data science • machine learning • ML • unsupervised ml
Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS
By Angela Zimmerman
January 18, 2022 9 mins read
A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.
Explore: ai • artificial intelligence • AWS • chatbot • data science • Deep Medicine • Doctor.ai • graph database • Health Care • Healthcare
Knowledge Graphs Push the Boundaries of Data Science
By IT for CEOs & CFOs - January 18, 2022
Explore: artificial intelligence • Connected Data • data science • Knowledge Graph • machine learning
Advanced data science, machine learning and the power of knowledge graphs: What can we expect from this combination?
By IDG Connect - January 12, 2022
Explore: data science • graph database • Knowledge Graph • machine learning
Use Graphs for Smarter AI with Neo4j and Google Cloud Vertex AI
By Angela Zimmerman
January 7, 2022 8 mins read
Learn how to use Neo4j AuraDB along with Google Cloud Vertex AI to build and deploy graph-based machine learning models.
Explore: ai • anti-fraud • AuraDS • Connected Data • data science • data scientists • Google Cloud • Google Cloud Vertex AI • graph database • graph embeddings
The Top 5 Neo4j Webinars of 2021
By Angela Zimmerman
December 27, 2021 3 mins read
While we can look back and say that 2021 was a year of disruption, the same rings true for the world of tech, especially in the graph space. I’m constantly amazed by how connected our world is becoming and can… Read more →
Explore: cybersecurity • Graph Analytics • graph data science • knowledge graphs • machine learning • ML • Neo4j Bloom • predictive analytics • supervised machine learning • visualization
OpenGovLive: The Power of Graph Data Platform and Enterprise AI Platform
By OpenGov Asia - November 16, 2021
Explore: APAC • artificial intelligence • Connected Data • enterprise AI • graph data platform • machine learning
From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs
By Enzo
November 17, 2021 4 mins read
Discover the two general categories of knowledge graphs: actioning for data management and decisioning for data analytics.
Explore: actioning • ai • Analytics • data management • Decision Making • decisioning • knowledge graphs • machine learning
You Don’t Need a Crystal Ball When You Have Graph Data Science
By Angela Zimmerman
November 12, 2021 3 mins read
Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain… Read more →
Explore: AI/ML • Connected Data • data science • GDS • graph data science • link prediction • machine learning • webinar • webinar spotlight
Apache Spark for Neo4j AuraDB
By Enzo
November 1, 2021 5 mins read
Check out some of the important changes and new functionality in the Neo4j Connector for Apache Spark version 4.1.
Explore: apache • Aura • cloud • connector • Kafka • kinesis • machine learning • neo4j • spark • streaming
#GraphCast: Why You Should Be Thinking About Bias in AI
By Enzo
October 22, 2021 < 1 min read
Check out this video on algorithmic bias in AI, plus my take on why tracking data lineage in a knowledge graph is part of the solution.
Explore: ai • artificial intelligence • bias • data lineage • ethics • GraphCast • knowledge graphs • machine learning • ML
This Week in Neo4j – Twitch, Stackoverflow, Masterclass, Workshop
By Max Andersson
October 15, 2021 6 mins read
Hello, everyone! ? Is it just me or is this month getting spookier and spookier by the day? I’m sure it’s just me, but it still doesn’t feel like I’m the only one who’s been spooked this month. At least… Read more →
Explore: Connected Data • data science • Data Visualization • graph algorithms • knowledge graphs • machine learning • mathematics • ML • Neo4j Aura • spark
This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
By Max Andersson
October 9, 2021 4 mins read
Hello, everyone! As we begin a new quarter – and enter the spookiest month of the year – Twin4j brings you both tricks and treats from the past week in the world of Neo4j. In this issue, we will see… Read more →
Explore: Connected Data • data science • Data Visualization • graph algorithms • knowledge graphs • machine learning • mathematics • ML • Neo4j Aura • spark
This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data
By Elaine Rosenberg
October 2, 2021 6 mins read
Hello, everyone! In this issue, we’re featuring Alexios Pantavos, a developer who has worked tirelessly to help other Neo4j Community members. The folks at Graphlytic published a video tutorial that shows you how to define rules for mapping styles with… Read more →
Explore: API • collatz conjecture • data science • Data Visualization • endpoints • graph algorithms • graphileon • graphlytic • hashtag • Kafka
What’s New with Graph Data Science: GDS 1.7 Release
By Angela Zimmerman
September 23, 2021 5 mins read
At this point, we’re all back from our summer holidays – whether we want to be or not. One consolation prize, though, is that the team at Neo4j spent our summer putting together another fabulous update to the Graph Data… Read more →
Explore: Connected Data • data science • GDS • graph data science • graph database • link prediction • machine learning
Knowledge Graphs: Data in Context for Responsive Businesses [New Book]
By Angela Zimmerman
September 7, 2021 5 mins read
We are thrilled to announce the availability of the O’Reilly: Knowledge Graphs: Data in Context for Responsive Businesses book!
Explore: ai • Connected Data • connected enterprise • digital twins • graph database • knowledge graphs • machine learning
This Week in Neo4j – GraphQL Library V2, AuraDB Free Demo, Power BI, MLOps, the Louvre, and Discourse Versus Discord
By Clair Sullivan
August 14, 2021 5 mins read
Hello, everyone! Here we are already in mid-August and the summer is quickly winding down. But the community is still hard at work and doing some great things with graphs! There was some big news within the Neo4j community this… Read more →
Explore: Aura • communication • discord • discourse • graph data science • graph data science library • GraphQL • machine learning • Power BI • twin4j
Knowledge Graphs blicken über den Tellerrand
By BigData Insider - August 2, 2021
Explore: ai • artificial intelligence • KI • knowledge graphs • Künstliche Intelligenz • machine learning
This Week in Neo4j – Data Journalism NYPD, Django Admin, Visualization Talks, CEO Podcast, Write Performance, Java GraphQL
By Michael Hunger, Developer Relations
July 17, 2021 6 mins read
Hello, everyone! Time really flies! It felt like only yesterday I was putting together last week’s twin4j. I encourage you to share both the newsletter and blog with colleagues and friends who may also find it helpful. You can point… Read more →
Explore: Cypher-DSL • django • Funding • graph data science • GraphQL • Graphs4Good • java • journalism • machine learning • nodes-2021
Neo4j Raises the Largest Funding Round in Database History
By Enzo
June 17, 2021 5 mins read
Check out Neo4j CEO and Co-Founder Emil Eifrem’s thoughts on raising the largest funding round in database history.
Explore: Big Data • data management • graph data science • Graph Databases • largest funding round in database history • machine learning • neo4j
This Week in Neo4j – Graph Embeddings, Confluent with AuraDB, Intro Video, Liquibase, Data Stack Show
By Elaine Rosenberg
June 5, 2021 3 mins read
Hello, everyone! Don’t miss our free hands-on training sessions (around two hours each day) from June 7 – 11. All folks who register for NODES can attend these sessions (scroll down for details). In this week’s episode, we thank Alberto… Read more →
Explore: apache kafka • APOC • automotive industry • complex workflows • Confluent Cloud • csv • csv import • cypher • data science • desk
Neo4j Graph Data Science Library 1.6: Fastest Path to Production
By Enzo
June 2, 2021 4 mins read
Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.
Explore: Analytics • GDS • GDS library • graph algorithms • machine learning • ML • neo4j graph data science • supervised ml